MétaCan
Menu
← Back to cohort

Targeting white matter microgliosis using minocycline in a co‐morbid preclinical rat model of Alzheimer’s disease and stroke

2020· article· en· W3016384594 on OpenAlexaffabout
Victoria Agapova, Victoria Blanchet, Brian L. Allman, Shawn N. Whitehead

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsWestern University
Fundersnot available
KeywordsMinocyclineStroke (engine)MedicineMicrogliaWhite matterNeuroscienceMorris water navigation taskNeuroinflammationCognitive flexibilityInflammationPsychologyInternal medicineHippocampusCognitionMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Current literature indicates a potential synergistic interaction between stroke and Alzheimer’s disease (AD). White matter (WM) inflammation, which is commonly triggered by cerebrovascular disease and AD, disrupts the normal function of white matter; and can trigger and exacerbate dementia‐type symptoms such as memory loss and executive dysfunction. Recent work in our lab demonstrated, for the first time, a link between stroke, AD‐related pathology, and WM inflammation. A unilateral lacunar stroke induction in a comorbid rat model of AD and stroke resulted in microglial activation within the WM tracts and subsequent impairment in behavioural flexibility, an important component of executive function. As such, the aim of the current study was to evaluate the effect of microglia targeting on WM pathology, executive function, learning, and memory in the co‐morbid rat model of AD (TgAPP21) and stroke. Minocycline, a tetracycline‐class antibiotic and an anti‐inflammatory drug, has been shown to decrease apoptosis, inflammation, and microglial activation following cerebrovascular injury. To study the behavioural outcomes of minocycline treatment, TgAPP21 rats received an endothelin‐1‐induced subcortical stroke at the age of 8 months. Following stroke, animals received intraperitoneal injections of minocycline or saline twice daily for four days to supress microglial activation. Cognitive behavioural flexibility post‐stroke was analyzed using set‐shifting operant conditioning test, while spatial learning and memory were assessed using Morris water maze. Immunohistochemistry was performed to evaluate the extent of microglial activation by detection of OX‐6 positive microglia in corpus callosum, internal capsule, and hippocampus. Minocycline treatment significantly decreased the number of errors committed by TgAPP21 rats on the visual cue component of the set‐shifting test, suggesting improved learning of the original visual cue task. However, minocycline also impaired animals’ ability to undergo an extra‐dimensional strategy shift from the original visual cue to a new spatial cue task, suggesting impaired behavioural flexibility. Further, minocycline treatment showed no significant effect on learning and memory of the Morris water maze task in TgAPP21 rats. Collectively, the data indicate that minocycline has distinct effects on the learning component of set‐shifting and Morris water maze tests, though further histological evaluation of OX‐6 positive microglia within WM tracts and hippocampus will contextualize current findings. Support or Funding Information Natural Sciences and Engineering Research Council (NSERC), Canadian Institutes of Health Research (CIHR), Canadian Foundation for Innovation (CFI), Canadian Consortium for Neurodegeneration and Aging (CCNA)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.119
GPT teacher head0.320
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB Journal→Same topicNeuroinflammation and Neurodegeneration Mechanisms→French-language works237,207→